Deep Angular Embedding and Feature Correlation Attention for Breast MRI Cancer Analysis. - Luyang Luo; Hao Chen 011; Xi Wang 013; Qi Dou 001; Huangjing Lin; Juan Zhou; Gongjie Li; Pheng-Ann Heng (MICCAI (4), 2019)

Unifying Structure Analysis and Surrogate-Driven Function Regression for Glaucoma OCT Image Screening. - Xi Wang 013; Hao Chen 011; Luyang Luo; An-ran Ran; Poemen P. Chan; Clement C. Tham; Carol Y. Cheung; Pheng-Ann Heng (MICCAI (1), 2019)

Towards multi-center glaucoma OCT image screening with semi-supervised joint structure and function multi-task learning. - Xi Wang 013; Hao Chen 011; An-ran Ran; Luyang Luo; Poemen P. Chan; Clement C. Tham; Robert T. Chang; Suria S. Mannil; Carol Y. Cheung; Pheng-Ann Heng (Medical Image Anal., 2020)

UD-MIL: Uncertainty-Driven Deep Multiple Instance Learning for OCT Image Classification. - Xi Wang 013; Fangyao Tang; Hao Chen 011; Luyang Luo; Ziqi Tang; An-ran Ran; Carol Y. Cheung; Pheng-Ann Heng (IEEE J. Biomed. Health Informatics, 2020)

Semi-Supervised Medical Image Classification With Relation-Driven Self-Ensembling Model. - Quande Liu; Lequan Yu; Luyang Luo; Qi Dou 001; Pheng-Ann Heng (IEEE Trans. Medical Imaging, 2020)

Deep Mining External Imperfect Data for Chest X-Ray Disease Screening. - Luyang Luo; Lequan Yu; Hao Chen 011; Quande Liu; Xi Wang 013; Jiaqi Xu; Pheng-Ann Heng (IEEE Trans. Medical Imaging, 2020)

Dual-Consistency Semi-supervised Learning with Uncertainty Quantification for COVID-19 Lesion Segmentation from CT Images. - Yanwen Li; Luyang Luo; Huangjing Lin; Hao Chen 011; Pheng-Ann Heng (MICCAI (2), 2021)

OXnet: Deep Omni-Supervised Thoracic Disease Detection from Chest X-Rays. - Luyang Luo; Hao Chen 011; Yanning Zhou 001; Huangjing Lin; Pheng-Ann Heng (MICCAI (2), 2021)

OXnet: Omni-supervised Thoracic Disease Detection from Chest X-rays. - Luyang Luo; Hao Chen 011; Yanning Zhou 001; Huangjing Lin; Pheng-Ann Heng (CoRR, 2021)

Deep Semi-supervised Metric Learning with Dual Alignment for Cervical Cancer Cell Detection. - Zhizhong Chai; Luyang Luo; Huangjing Lin; Hao Chen 011; Pheng-Ann Heng (CoRR, 2021)

Rethinking annotation granularity for overcoming deep shortcut learning: A retrospective study on chest radiographs. - Luyang Luo; Hao Chen 011; Yongjie Xiao; Yanning Zhou 001; Xi Wang 013; Varut Vardhanabhuti; Mingxiang Wu; Pheng-Ann Heng (CoRR, 2021)

Deep Semi-Supervised Metric Learning with Dual Alignment for Cervical Cancer Cell Detection. - Zhizhong Chai; Luyang Luo; Huangjing Lin; Hao Chen 011; Anjia Han; Pheng-Ann Heng (ISBI, 2022)

ORF-Net: Deep Omni-Supervised Rib Fracture Detection from Chest CT Scans. - Zhizhong Chai; Huangjing Lin; Luyang Luo; Pheng-Ann Heng; Hao Chen 011 (MICCAI (3), 2022)

Pseudo Bias-Balanced Learning for Debiased Chest X-Ray Classification. - Luyang Luo; Dunyuan Xu; Hao Chen 011; Tien-Tsin Wong; Pheng-Ann Heng (MICCAI (8), 2022)

Scale Federated Learning for Label Set Mismatch in Medical Image Classification. - Zhipeng Deng; Luyang Luo; Hao Chen 011 (MICCAI (3), 2023)

Iteratively Coupled Multiple Instance Learning from Instance to Bag Classifier for Whole Slide Image Classification. - Hongyi Wang 002; Luyang Luo; Fang Wang 030; Ruofeng Tong 001; Yen-Wei Chen 001; Hongjie Hu; Lanfen Lin; Hao Chen 011 (MICCAI (6), 2023)

Label-Efficient Deep Learning in Medical Image Analysis: Challenges and Future Directions. - Cheng Jin 003; Zhengrui Guo; Yi Lin 009; Luyang Luo; Hao Chen 011 (CoRR, 2023)

Learning Agreement from Multi-source Annotations for Medical Image Segmentation. - Yifeng Wang; Luyang Luo; Mingxiang Wu; Qiong Wang 001; Hao Chen 011 (CoRR, 2023)

Deep Learning in Breast Cancer Imaging: A Decade of Progress and Future Directions. - Luyang Luo; Xi Wang 013; Yi Lin 009; Xiaoqi Ma; Andong Tan; Ronald C. K. Chan; Varut Vardhanabhuti; Winnie C. W. Chu; Kwang-Ting Cheng; Hao Chen 011 (CoRR, 2023)

Scale-aware Super-resolution Network with Dual Affinity Learning for Lesion Segmentation from Medical Images. - Yanwen Li; Luyang Luo; Huangjing Lin; Pheng-Ann Heng; Hao Chen 011 (CoRR, 2023)

Advancing Volumetric Medical Image Segmentation via Global-Local Masked Autoencoder. - Jia-Xin Zhuang; Luyang Luo; Hao Chen 011 (CoRR, 2023)

Iterative Semi-Supervised Learning for Abdominal Organs and Tumor Segmentation. - Jia-Xin Zhuang; Luyang Luo; Zhixuan Chen; Linshan Wu (CoRR, 2023)

Triplet attention and dual-pool contrastive learning for clinic-driven multi-label medical image classification. - Yuhan Zhang 001; Luyang Luo; Qi Dou 001; Pheng-Ann Heng (Medical Image Anal., 2023)

MICA: Towards Explainable Skin Lesion Diagnosis via Multi-Level Image-Concept Alignment. - Yequan Bie; Luyang Luo; Hao Chen 011 (AAAI, 2024)

Bootstrapping Radiography Pre-training via Siamese Masked Vision-Language Modeling with Complementary Self-distillation. - Wenqiang Li; Luyang Luo; Hao Chen 011 (BIBM, 2024)

XCoOp: Explainable Prompt Learning for Computer-Aided Diagnosis via Concept-Guided Context Optimization. - Yequan Bie; Luyang Luo; Zhixuan Chen; Hao Chen 011 (MICCAI (12), 2024)

Enable the Right to be Forgotten with Federated Client Unlearning in Medical Imaging. - Zhipeng Deng; Luyang Luo; Hao Chen 011 (MICCAI (10), 2024)

Surgformer: Surgical Transformer with Hierarchical Temporal Attention for Surgical Phase Recognition. - Shu Yang 004; Luyang Luo; Qiong Wang 001; Hao Chen 011 (MICCAI (6), 2024)

Medical Image Debiasing by Learning Adaptive Agreement from a Biased Council. - Luyang Luo; Xin Huang; Minghao Wang; Zhuoyue Wan; Hao Chen 011 (CoRR, 2024)

Dia-LLaMA: Towards Large Language Model-driven CT Report Generation. - Zhixuan Chen; Luyang Luo; Yequan Bie; Hao Chen 011 (CoRR, 2024)

Multimodal Data Integration for Precision Oncology: Challenges and Future Directions. - Huajun Zhou; Fengtao Zhou; Chenyu Zhao; Yingxue Xu; Luyang Luo; Hao Chen 011 (CoRR, 2024)

Towards Non-invasive and Personalized Management of Breast Cancer Patients from Multiparametric MRI via A Large Mixture-of-Modality-Experts Model. - Luyang Luo; Mingxiang Wu; Mei Li; Yi Xin; Qiong Wang 001; Varut Vardhanabhuti; Winnie C. W. Chu; Zhenhui Li; Juan Zhou; Pranav Rajpurkar; Hao Chen 011 (CoRR, 2024)

SurgPETL: Parameter-Efficient Image-to-Surgical-Video Transfer Learning for Surgical Phase Recognition. - Shu Yang 004; Zhiyuan Cai; Luyang Luo; Ning Ma; Shuchang Xu; Hao Chen 011 (CoRR, 2024)

ReXplain: Translating Radiology into Patient-Friendly Video Reports. - Luyang Luo; Jenanan Vairavamurthy; Xiaoman Zhang; Abhinav Kumar; Ramon R. Ter-Oganesyan; Stuart T. Schroff; Dan Shilo; Rydhwana Hossain; Mike Moritz; Pranav Rajpurkar (CoRR, 2024)

Self-eXplainable AI for Medical Image Analysis: A Survey and New Outlooks. - Junlin Hou; Sicen Liu; Yequan Bie; Hongmei Wang; Andong Tan; Luyang Luo; Hao Chen 011 (CoRR, 2024)

Deep Omni-Supervised Learning for Rib Fracture Detection From Chest Radiology Images. - Zhizhong Chai; Luyang Luo; Huangjing Lin; Pheng-Ann Heng; Hao Chen 011 (IEEE Trans. Medical Imaging, 2024)

Guest Editorial: Trustworthy Machine Learning for Health Informatics. - Luyang Luo; Daguang Xu; Jing Qin 001; Yueming Jin; Hao Chen 011 (IEEE J. Biomed. Health Informatics, 2024)

Rethinking Multiple Instance Learning for Whole Slide Image Classification: A Bag-Level Classifier is a Good Instance-Level Teacher. - Hongyi Wang 002; Luyang Luo; Fang Wang 030; Ruofeng Tong 001; Yen-Wei Chen 001; Hongjie Hu; Lanfen Lin; Hao Chen 011 (IEEE Trans. Medical Imaging, 2024)

Mitigating medical dataset bias by learning adaptive agreement from a biased council. - Luyang Luo; Xin Huang; Minghao Wang; Zhuoyue Wan; Wanteng Ma; Hao Chen 011 (Medical Image Anal., 2025)

Learning robust medical image segmentation from multi-source annotations. - Yifeng Wang; Luyang Luo; Mingxiang Wu; Qiong Wang 001; Hao Chen 011 (Medical Image Anal., 2025)

A Data-Efficient Pan-Tumor Foundation Model for Oncology CT Interpretation. - Wenhui Lei; Hanyu Chen; Zitian Zhang; Luyang Luo; Qiong Xiao; Yannian Gu; Peng Gao; Yankai Jiang 003; Ci Wang; Guangtao Wu; Tongjia Xu; Yingjie Zhang; et al. (CoRR, 2025)

Generalizable Cervical Cancer Screening via Large-scale Pretraining and Test-Time Adaptation. - Hao Jiang 028; Cheng Jin 003; Huangjing Lin; Yanning Zhou 001; Xi Wang 013; Jiabo Ma; Li Ding; Jun Hou; Runsheng Liu; Zhizhong Chai; Luyang Luo; Huijuan Shi; et al. (CoRR, 2025)

FreeTumor: Large-Scale Generative Tumor Synthesis in Computed Tomography Images for Improving Tumor Recognition. - Linshan Wu; Jiaxin Zhuang; Yanning Zhou 003; Sunan He; Jiabo Ma; Luyang Luo; Xi Wang 013; Xuefeng Ni; Xiaoling Zhong; Mingxiang Wu; Yinghua Zhao; Xiaohui Duan; et al. (CoRR, 2025)

HMIL: Hierarchical Multi-Instance Learning for Fine-Grained Whole Slide Image Classification. - Cheng Jin 003; Luyang Luo; Huangjing Lin; Jun Hou; Hao Chen 011 (IEEE Trans. Medical Imaging, 2025)

PathBench: A comprehensive comparison benchmark for pathology foundation models towards precision oncology. - Jiabo Ma; Yingxue Xu; Fengtao Zhou; Yihui Wang 002; Cheng Jin 003; Zhengrui Guo; Jianfeng Wu; On Ki Tang; Huajun Zhou; Xi Wang 013; Luyang Luo; Zhengyu Zhang; et al. (CoRR, 2025)

Genome-Anchored Foundation Model Embeddings Improve Molecular Prediction from Histology Images. - Cheng Jin 003; Fengtao Zhou; Yunfang Yu; Jiabo Ma; Yihui Wang 002; Yingxue Xu; Huajun Zhou; Hao Jiang 028; Luyang Luo; Luhui Mao; Zifan He; Xiuming Zhang; et al. (CoRR, 2025)

Scale-Aware Super-Resolution Network With Dual Affinity Learning for Lesion Segmentation From Medical Images. - Luyang Luo; Yanwen Li; Zhizhong Chai; Huangjing Lin; Pheng-Ann Heng; Hao Chen 011 (IEEE Trans. Neural Networks Learn. Syst., 2025)

ReXGroundingCT: A 3D Chest CT Dataset for Segmentation of Findings from Free-Text Reports. - Mohammed Baharoon; Luyang Luo; Michael Moritz; Abhinav Kumar; Sung Eun Kim; Xiaoman Zhang; Miao Zhu; Mahmoud Hussain Alabbad; Maha Sbayel Alhazmi; Neel P. Mistry; Kent Ryan Kleinschmidt; Brady Chrisler; et al. (CoRR, 2025)

Voice-guided Orchestrated Intelligence for Clinical Evaluation (VOICE): A Voice AI Agent System for Prehospital Stroke Assessment. - Julián Nicolás Acosta; Scott J. Adams; Julius Kernbach; Romain Hardy; Sung Eun Kim; Luyang Luo; Xiaoman Zhang; Shreya Johri; Mohammed Baharoon; Pranav Rajpurkar (CoRR, 2025)